Best data analysis software on Reddit

22 reviews from r/publichealth, r/datascience, r/medicalschool and 4 more subreddits

22 reviews from
and
By Brand
/
By Product
#1

SAS

4.8
(4)
"Start with R or SAS - both will be valuable for a wide variety of jobs."
·
"For government work, definitely SAS."
·
"SAS and R, def"
·
"SAS is more widely used for epidemiology and biostatistics, making it a valuable tool to learn."
#2

Python

4.8
(4)
"Python is my answer. You can do anything from simple to full featured data analysis with Python."
·
"Python is one of the most extensively used programming languages among data analysts."
·
"I would say python. It's a language that can be used for tons of things including data analysis."
·
"R and Matlab are sufficient, but Python is a great addition."
#3

R

5.0
(2)
"Almost anything is better than SPSS."
·
"SAS and R, def"
#4

Motec

5.0
(1)
"Motec i2 Pro is an in-depth tool used by IRL race teams for data analysis and setup comparisons."
#5

SQL

5.0
(1)
"SQL is the most important data analysis computer language to master for data analysts."
#6

Alteryx

5.0
(1)
"We use one called Alteryx for cleaning and merging."
#7

Google Cloud

4.0
(1)
"Google Cloud Dataprep"
#8

Tableau Prep

4.0
(1)
"Tableau Prep, SAS UE - if used for non commercial purposes, JMP, SPSS, Rattle, PowerBI"
#9

SAS Enterprise Miner

4.0
(1)
"I'd say SAS Enterprise Miner and Weka. The former is costly and the latter is free."
#10

iSpeed

4.0
(1)
"Has a public database to compare telemetry and well worth the $15 or whatever it costs."
#11

Tableau

4.0
(1)
"Complicated but does a lot."
#12

Deedoose

4.0
(1)
"Deedoose is free to some extent and works well on Mac."
#13

SPSS

3.0
(1)
"SPSS is more heavily used in social sciences research, but its UI can be difficult to navigate."
#14

Stata

2.0
(1)
"I hate Stata but it has a lot of shortcut options like a calculator button you can use."
#15

Power BI

2.0
(1)
"Not sure if Power BI is needed."

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